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Speech Recognition Courses

Speech recognition courses can help you learn the fundamentals of audio processing, language modeling, and transcription techniques. You can build skills in feature extraction, acoustic modeling, and implementing neural networks for voice recognition. Many courses introduce tools like Python libraries, TensorFlow, and Kaldi, that support developing speech recognition systems and applying AI to enhance user interactions in applications such as virtual assistants and automated transcription services.

Popular Speech Recognition Courses and Certifications


  • A

    Arizona State University

    Teach English Now! Second Language Listening, Speaking, and Pronunciation

    Skills you'll gain: Oral Comprehension, Teaching, English Language, Language Competency, Language Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2.1K reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Conversation Design for Chatbots & Voice Assistants

    Skills you'll gain: Persona (User Experience), User Interface (UI), Prompt Engineering, Interaction Design, Usability, User Experience Design, Responsible AI, Human Centered Design, Human Computer Interaction, Design Research, User Flows, Usability Testing, Context Management, Multimodal Prompts, User Research, Prototyping, Technical Communication, User Requirements Documents, Data Ethics, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Deep Learning for Natural Language Processing

    Skills you'll gain: Large Language Modeling, Model Optimization, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Model Training, LLM Application, Artificial Neural Networks, Transfer Learning, Deep Learning, Embeddings, Fine-tuning, Generative AI, Artificial Intelligence

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Logistic Regression, Feature Engineering

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • W

    Whizlabs

    NVIDIA: Fundamentals of NLP and Transformers

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Generative AI, Large Language Modeling, Token Optimization, Embeddings, Generative Model Architectures, Data Pipelines, Data Preprocessing, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Sequence Models

    Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Generative AI, Artificial Neural Networks, Embeddings, Large Language Modeling, Deep Learning, Transfer Learning, Fine-tuning, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    31K reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Natural Language Processing - Transformers with Hugging Face

    Skills you'll gain: Hugging Face, Large Language Modeling, Transfer Learning, Recurrent Neural Networks (RNNs), Embeddings, Python Programming, Fine-tuning, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Glasgow

    Generative Pre-trained Transformers (GPT)

    Skills you'll gain: Large Language Modeling, ChatGPT, LLM Application, Generative Model Architectures, Generative AI, Natural Language Processing, Embeddings, Responsible AI, Data Ethics, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    34 reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    Intermediate · Course · 1 - 3 Months

  • S

    Simplilearn

    Gen AI Using Hugging Face Training

    Skills you'll gain: Hugging Face, Natural Language Processing, Large Language Modeling, Generative AI, Text Mining, LLM Application, AI Workflows, Unstructured Data

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Implement Hand Gesture Recognition with OpenCV

    Skills you'll gain: Program Development, Code Reusability, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Advanced · Course · 1 - 3 Months

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In summary, here are 10 of our most popular speech recognition courses

  • Teach English Now! Second Language Listening, Speaking, and Pronunciation: Arizona State University
  • Conversation Design for Chatbots & Voice Assistants: Packt
  • Deep Learning for Natural Language Processing: University of Colorado Boulder
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
  • Sequence Models: DeepLearning.AI
  • Natural Language Processing - Transformers with Hugging Face: Packt
  • Generative Pre-trained Transformers (GPT): University of Glasgow
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Gen AI Using Hugging Face Training: Simplilearn

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